Evidence map›Paper›PMID 7744500›Full record

ArticleInfection

Activation of tumor necrosis factor--alpha system in HIV-1 infection: association with markers of immune activation.

P Aukrust, N B Liabakk, F Müller, T Espevik, S S Frøland

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Infection. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. The lymph node in HIV pathogenesis.Seminars in immunology · 2008
    Review
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

P AukrustMedical Dept. A, University of Oslo, National Hospital, Rikshospitalet, Norway.
N B Liabakk
F Müller
T Espevik
S S Frøland
University College London · GBRuralis - Institute for Rural and Regional Research · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationships between serum levels of soluble tumor necrosis factor receptors (sTNFRs) and other prognostic and immunological parameters in different immunological subgroups of 64 HIV-1 infected patients were studied. In the patient group as a whole, the raised serum levels of sTNFRs were significantly inversely correlated to the numbers of CD4+ and CD8+ lymphocytes and significantly positively correlated with serum levels of neopterin, HIV-1 p24 antigen and the soluble CD8/CD8+ lymphocyte ratio. However, when the patients were classified into three separate immunological subgroups according to the numbers of CD4+ lymphocytes, only serum levels of neopterin were significantly correlated to levels of sTNFRs in all the defined immunological subgroups. These results indicate that HIV-1 infection is associated with a persistent and chronic immune activation in the TNF system manifested by raised serum levels of sTNFRs, which may reflect sustained activation of the immune system particularly in monocytes/macrophages. Further, these results confirm that, when comparing immunological and virological parameters in HIV-1 infection, different results may be obtained in different immunological subgroups of patients.

Indexed as

AdolescentAdultBiopterinsCase-Control StudiesCD4-CD8 RatioCD8 AntigensFemaleHIV-1HIV InfectionsHumansMaleMiddle AgedNeopterinPredictive Value of TestsPrognosisTumor Necrosis Factor-alphaBiopterinsCD8 AntigensNeopterinTumor Necrosis Factor-alpha

Identifiers

PMID7744500
OpenAlexW2425556596

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.